Safe adaptive learning algorithm with neural network implementation for H∞ control of nonlinear safety‐critical system
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Publication:6136617
DOI10.1002/RNC.6452zbMath1530.93207OpenAlexW4307918776MaRDI QIDQ6136617
Dehua Zhang, Unnamed Author, Unnamed Author, Unnamed Author, Chunbin Qin
Publication date: 17 January 2024
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.6452
\(H_\infty\) controlneural networkbarrier functionadaptive dynamic programmingsafety-critical system
Adaptive control/observation systems (93C40) (H^infty)-control (93B36) Dynamic programming (90C39) Networked control (93B70)
Cites Work
- Unnamed Item
- Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
- Adaptive optimal control for continuous-time linear systems based on policy iteration
- \(H^ \infty\) - optimal control and related minimax design problems. A dynamic game approach
- The method of weighted residuals and variational principles. With application in fluid mechanics, heat and mass transfer
- Output feedback Q-learning for discrete-time linear zero-sum games with application to the \(H_\infty\) control
- Tracking control of uncertain nonlinear systems with deferred asymmetric time-varying full state constraints
- Event-triggered single-network ADP method for constrained optimal tracking control of continuous-time non-linear systems
- Echo state network-based online optimal control for discrete-time nonlinear systems
- Comment on “Further Enhancement on Robust $H_{\infty}$ Control Design for Discrete-Time Singular Systems”
- L/sub 2/-gain analysis of nonlinear systems and nonlinear state-feedback H/sub infinity / control
- H/sub ∞/-control of discrete-time nonlinear systems
- Online solution of nonlinear two‐player zero‐sum games using synchronous policy iteration
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